Logo

From Data Chaos to
Scientific Clarity.

Data Chaos to Clarity Transformation

DocAI: The Universal Automation Engine for Scientific Data

The essential data foundation for CROs, Biotechs, and Multi-Omics Platforms

The Universal Problem:
The High Cost of
Data Chaos

Upstream Pain (CROs as Data Producers)

  • Analysts spend hours cleaning, merging, and formatting data per study.
  • Each sponsor wants slightly different formats and custom rules.
  • QA is overloaded re-checking manual copy/paste work and SOPs.
  • Deliverables must be PERFECT.
Data Funnel: From Chaos to Analysis & Insights
70–90%

of an analyst's or scientist's time is wasted on manual data cleanup and formatting, delaying critical insights.

Downstream Pain (Biotechs as Data Consumers)

  • Receiving sloppy, inconsistent data from multiple CROs (multi-vendor chaos).
  • Scientists waste hours every week cleaning Excel before analysis can even start.
  • No standardization across studies, programs, or modalities.

Introducing DocAI: The Missing Pre-Analytics Layer.

Layer B
Analysis & Insights
📊 Prism 📈 Tableau 📐 R 🐍 Python 📉 Spotfire
DocAI
The Data Foundation Layer
Extract Validate Harmonize
Raw Data Sources
Unstructured Inputs
🔬 Lab Instruments 🧪 LIMS / ELN 📋 CRO Outputs 🧬 Assay Platforms 📄 PDF Reports 📊 Excel / CSV

DocAI automates the entire ingestion, cleanup, and standardization workflow (Layer A), transforming raw, messy outputs into the structured, validated data required for analysis.

A Universal Framework for Speed, Quality, and Scale.

Universal Extraction

Ingests ANY format: Excel (multi-sheet, inconsistent layouts), PDF, CSV, images, and scanned lab notes. AI + rule-based logic pulls tables, metadata, and units from any layout.

Intelligent Standardization

Harmonizes data from all CROs and labs into one consistent schema. Creates a single, normalized 'master dataset' from hundreds of files, eliminating multi-vendor chaos.

Automated Validation & QC

Enforces custom SOPs and client-specific rules automatically. Flags issues like missing replicates, failed controls, or values outside specified ranges to eliminate manual errors.

From 250 Messy Files
to One Master Dataset

A real-world PK/Cytokine panel study with multiple tables per sheet, different layouts, and inconsistent headers.

Before: Raw Instrument & CRO Outputs

  • Hundreds of spreadsheets with different layouts and header conventions.
  • Multiple tables per sheet; manual copy-paste to assemble datasets.
  • No consistent naming for samples, analytes, or units.
  • QC flags buried in comments or extra columns.

After: DocAI-Generated Master Dataset

  • Auto-extracted and merged tables across instruments and CROs.
  • Standardized column names and units across the study.
  • Visible QC flags (e.g., missing replicates, failed controls).
  • Ready for export to any sponsor format or analysis tool in one step.

For CROs:
Deliver Perfect Client Reports, Faster.

DocAI is your report automation engine. It automates your internal reporting workflows, rule enforcement, and formatting.

[Raw Instrument Files]
DocAI Engine
[Polished, Client-Ready Package]

Speed

70–90% less manual Excel work for your analysts. Faster study turnaround times.

🎯

Quality

Fewer errors and consistent SOP enforcement across all studies and clients.

📈

Growth

Increased capacity to run more studies and offer differentiated digital experiences for sponsors.

"We help you deliver cleaner, standardized, and faster client reports by automating the data extraction and formatting workflow."

For Biotechs: The Universal Standardization Engine

DocAI acts as your automated "data ops team," cleaning and standardizing inconsistent data received from all your CROs and internal labs.

"We unify study outputs across CROs so your teams get consistent, clean data every time, ready for analysis or submission."

A

CRO A

Heterogeneous exports, custom templates, and sponsor-specific rules.

B

CRO B

Different layouts, naming conventions, and QC flags.

L

Internal Lab

Instrument-level data and R&D-specific formats.

DocAI Engine

Standardizes all incoming study data into a single internal master schema.

**Internal Master Schema**

Consistent, ready-to-analyze data for statistics, visualization, and regulatory submissions.

Eliminates the manual data cleanup burden so your scientists can focus on the biology, not the spreadsheets.

For Platforms & Multi-Omics: The Universal Harmonizer

Your platform generates multiple data types. Data complexity is not your enemy; it's your competitive advantage. DocAI is built for it.

"We unify all modalities into one analysis-ready structure. DocAI automatically extracts and aligns all of them into your internal schema, regardless of format or complexity."

NGS

Flow Cytometry

ELISA

Imaging

Mass Spec

DocAI Engine

Extracts, standardizes, and maps each data type into a unified internal data model.

Unified Data Model

A single harmonized structure that supports cross-modality queries, analytics, and ML pipelines.

Frees up internal bioinformatics teams from constantly writing and rewriting ad-hoc ingestion scripts for each new data type.

Built for Scale: Configure Once, Reuse Infinitely

Scalability is achieved by storing assay-specific requirements as reusable Modules.

Universal Framework

Ingestion Layer Extraction Layer

PK Module

ELISA Module

Toxicology Module

Flow Cytometry Module

Custom Assay Module

Each module stores the assay's specific input schema, mapping logic, QC rules, and required calculations.

Templated Output Engine

Configure an Assay Module once.

Reuse it hundreds of times across studies.

DocAI is the Missing 'Pre-Analytics' Layer

We are not an analytics package; we are the ingestion, cleanup, and harmonization engine that feeds them.

THE MANUAL WORK

  1. Data Ingestion
  2. Cleaning
  3. Standardization
  4. QC

This is where DocAI shines—and where your teams waste 70–90% of their time.

THE SCIENCE

  1. Analysis
  2. Statistics
  3. Visualization
  4. ML

This is where your teams add value, powered by their existing tools (Prism, R, Python, Spotfire).

Downstream tools require clean, standardized input data. DocAI delivers it.

The Strategic Impact: Focus on Science, Not Spreadsheets

Before DocAI

  • Scientists and analysts are stuck in manual data ingestion, cleaning, mapping, and QC.
  • Insights are delayed, errors are common, and scalability is impossible.

With DocAI

  • The entire ingestion and validation layer is automated.
  • Teams focus exclusively on analysis, statistics, visualization, and insight generation.
  • Work becomes repeatable, scalable, and high-quality by default.

We automate the boring, expensive, and error-prone work that prevents your team from scaling.

Stop Wasting Talent on Data Prep. Start Accelerating Discovery.

Before DocAI

80%
Data Prep
20%
Science

Teams waste most of their time on manual work

With DocAI

95%
Science
5%
Review

Teams focus on what matters: discovery and insights

We don't change your science. We automate the expensive, error-prone, manual work that's holding your team back from their real job.

Your Data Chaos is Our Expertise.

The Low-Risk Path Forward

1

Start with a targeted pilot on 1–2 of your most challenging assays.

2

We'll help configure the pipelines and run them side-by-side with your manual process.

3

Let us prove the value with your own data.

Bring us your messiest PK, ELISA, or Multi-Omics files.

We will deliver clean, analysis-ready data in 48 hours.